The approach to adjusting commercial PM2.5 sensors with a filter-based gravimetric method
The measurements of temporal change to indoor contaminant concentrations are critical to understanding pollution characteristics. As commercial sensors are becoming increasingly commonplace, concentration accuracy is still a critical issue. The most common methods for measuring indoor particulate po...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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EDP Sciences
2023-01-01
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| Series: | E3S Web of Conferences |
| Online Access: | https://www.e3s-conferences.org/articles/e3sconf/pdf/2023/33/e3sconf_iaqvec2023_01119.pdf |
| _version_ | 1797799712182501376 |
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| author | Wang Wan-Ru Chen Hsiu-Ling Su Huey-Jen |
| author_facet | Wang Wan-Ru Chen Hsiu-Ling Su Huey-Jen |
| author_sort | Wang Wan-Ru |
| collection | DOAJ |
| description | The measurements of temporal change to indoor contaminant concentrations are critical to understanding pollution characteristics. As commercial sensors are becoming increasingly commonplace, concentration accuracy is still a critical issue. The most common methods for measuring indoor particulate pollutants based on filter-based gravimetric methods. However, the gravimetric method is expensive, time-consuming, and often provides little temporal information. More and more commercial sensors are utilized to collect larger and temporal information about indoor air pollutants. Nevertheless, limited data support the accuracy of commercial sensors so far. Thus, this study aims to evaluate the performance of commercial sensors. PM2.5 were collected for 30 days by personal environmental monitors with an airflow of 2 L/min on 37-mm Teflon filters and commercial sensors, simultaneously in a three-story house. Moreover, the intra-sensor comparison was conducted for 24 hours by the resolution in 1 minute. Finally, the linear regression model was built to adjust commercial sensors. The intra-sensor comparison results revealed that 24 hours average coefficient of variation (CV value) of PM2.5 in this study were under 10% and the R2 of the adjusted equation was 0.9394. We provide an accurate concentration of commercial sensors to estimate the association between pollutants exposure and health. |
| first_indexed | 2024-03-13T04:24:01Z |
| format | Article |
| id | doaj.art-9d6047e2b54f424fb212beaaca88ed6b |
| institution | Directory Open Access Journal |
| issn | 2267-1242 |
| language | English |
| last_indexed | 2024-03-13T04:24:01Z |
| publishDate | 2023-01-01 |
| publisher | EDP Sciences |
| record_format | Article |
| series | E3S Web of Conferences |
| spelling | doaj.art-9d6047e2b54f424fb212beaaca88ed6b2023-06-20T09:04:03ZengEDP SciencesE3S Web of Conferences2267-12422023-01-013960111910.1051/e3sconf/202339601119e3sconf_iaqvec2023_01119The approach to adjusting commercial PM2.5 sensors with a filter-based gravimetric methodWang Wan-Ru0Chen Hsiu-Ling1Su Huey-Jen2PhD student, Environmental and Occupational Health, National Cheng Kung UniversityFaculty, Food Safety / Hygiene and Risk Management, National Cheng Kung UniversityFaculty, Environmental and Occupational Health, National Cheng Kung UniversityThe measurements of temporal change to indoor contaminant concentrations are critical to understanding pollution characteristics. As commercial sensors are becoming increasingly commonplace, concentration accuracy is still a critical issue. The most common methods for measuring indoor particulate pollutants based on filter-based gravimetric methods. However, the gravimetric method is expensive, time-consuming, and often provides little temporal information. More and more commercial sensors are utilized to collect larger and temporal information about indoor air pollutants. Nevertheless, limited data support the accuracy of commercial sensors so far. Thus, this study aims to evaluate the performance of commercial sensors. PM2.5 were collected for 30 days by personal environmental monitors with an airflow of 2 L/min on 37-mm Teflon filters and commercial sensors, simultaneously in a three-story house. Moreover, the intra-sensor comparison was conducted for 24 hours by the resolution in 1 minute. Finally, the linear regression model was built to adjust commercial sensors. The intra-sensor comparison results revealed that 24 hours average coefficient of variation (CV value) of PM2.5 in this study were under 10% and the R2 of the adjusted equation was 0.9394. We provide an accurate concentration of commercial sensors to estimate the association between pollutants exposure and health.https://www.e3s-conferences.org/articles/e3sconf/pdf/2023/33/e3sconf_iaqvec2023_01119.pdf |
| spellingShingle | Wang Wan-Ru Chen Hsiu-Ling Su Huey-Jen The approach to adjusting commercial PM2.5 sensors with a filter-based gravimetric method E3S Web of Conferences |
| title | The approach to adjusting commercial PM2.5 sensors with a filter-based gravimetric method |
| title_full | The approach to adjusting commercial PM2.5 sensors with a filter-based gravimetric method |
| title_fullStr | The approach to adjusting commercial PM2.5 sensors with a filter-based gravimetric method |
| title_full_unstemmed | The approach to adjusting commercial PM2.5 sensors with a filter-based gravimetric method |
| title_short | The approach to adjusting commercial PM2.5 sensors with a filter-based gravimetric method |
| title_sort | approach to adjusting commercial pm2 5 sensors with a filter based gravimetric method |
| url | https://www.e3s-conferences.org/articles/e3sconf/pdf/2023/33/e3sconf_iaqvec2023_01119.pdf |
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